Evidence of the impacts of pharmaceuticals on aquatic animal behaviour (EIPAAB): a systematic map and open access database

作者：Jake M. Martin, Marcus Michelangeli, Michael G. Bertram, Paul J. Blanchfield, Jack A. Brand, Tomas Brodin, Bryan W. Brooks, Daniel Červený, Kate N. Fergusson, Malgorzata Lagisz, Lea M. Lovin, Isaac Y. Ligocki, Shinichi Nakagawa, Shiho Ozeki, Natalia Sandoval‐Herrera, Kendall R. Scarlett, Josefin Sundin, Hung Tan, Eli S.J. Thoré, Bob B. M. Wong, Erin S. McCallum · 发表于：Environmental Evidence · 年份：2025 · DOI：10.1186/s13750-025-00357-6 · 被引用次数：17 · 研究领域：Pharmaceutical and Antibiotic Environmental Impacts、Environmental Toxicology and Ecotoxicology、Aquaculture disease management and microbiota

BACKGROUND: Over the last decade, pharmaceutical pollution in aquatic ecosystems has emerged as a pressing environmental issue. Recent years have also seen a surge in scientific interest in the use of behavioural endpoints in chemical risk assessment and regulatory activities, underscoring their importance for fitness and survival. In this respect, data on how pharmaceuticals alter the behaviour of aquatic animals appears to have grown rapidly. Despite this, there has been a notable absence of systematic efforts to consolidate and summarise this field of study. To address this, our objectives were twofold: (1) to systematically identify, catalogue, and synthesise primary research articles on the effects of pharmaceuticals on aquatic animal behaviour; and (2) to organise this information into a comprehensive open-access database for scientists, policymakers, and environmental managers. METHODS: We systematically searched two electronic databases (Web of Science and Scopus) and supplemented these with additional article sources. The search string followed a Population-Exposure-Comparison-Outcome framework to capture articles that used an aquatic organism (population) to test the effects of a pharmaceutical (exposure) on behaviour (outcome). Articles were screened in two stages: title and abstract, followed by full-text screening alongside data extraction. Decision trees were designed a priori to appraise eligibility at both stages. Information on study validity was collected bu...